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Top Data Engineer Jobs in Raleigh, NC
As a Data Engineer at PwC, you will design and implement data pipelines for ETL processes, collaborate with cross-functional teams to gather requirements, ensure data quality and integrity, contribute to client engagements, and develop your analytical skills. Continuous learning and ownership of your development are key responsibilities.
The Data Engineer at Arcadia will design, build and test data connectors and ingestion pipelines, contributing to the integration of client claim and clinical data platforms. Responsibilities include peer code reviews, sprint planning, and maintaining JIRA tasks. The role requires problem solving for coding and data analysis issues within a dynamic healthcare environment.
As a Senior Associate at PwC, you will design and build ETL jobs using Informatica PowerCenter, analyze complex problems, mentor team members, and maintain high standards. You'll develop client relationships while navigating complexities and enhancing your technical skills.
As a Data Engineer at Bonterra, you will design scalable data models, build data pipelines, and deliver analytical solutions to empower nonprofit clients. You'll collaborate with cross-functional teams, solve complex data challenges, and mentor colleagues to promote best data engineering practices.
The Data Engineer will design and implement scalable analytics solutions, build data pipelines, and deliver impactful data models. They will work collaboratively with teams to develop insights that help nonprofit clients make data-driven decisions.
The Marketing Technology Data Engineer will design and build data solutions for managing and integrating real-time and batch data, focusing on data quality and availability for enterprise clients. The role involves developing data pipelines, implementing CI/CD processes, and collaborating with teams to meet client needs while leveraging Google Cloud services.
As a Google Cloud Data Engineer Manager at PwC, you will design and develop data infrastructure and systems, implement data pipelines, and lead data initiatives. Your role involves mentoring team members, managing project execution, fostering innovation, and ensuring compliance with data governance policies. You will also partner with leadership to enhance data solutions for clients' business needs.
The role involves designing and building data infrastructure and systems, developing data pipelines, and implementing data integration solutions. The candidate will serve as a strategic advisor, leading a team while collaborating with clients to transform data into actionable insights and making data architecture decisions that align with business needs.
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As a Principal Data Engineer, you will drive the direction of the Data Warehouse, design and optimize ingestion pipelines, and mentor team members. You will ensure data accuracy, monitor pipelines, comply with regulatory requirements, and collaborate with internal teams for comprehensive data integration.
Headway is seeking a Senior Data Engineer to help create access to affordable, quality mental healthcare across the United States. This role involves collaborating on data infrastructure design, partnering with product/engineering for best practices, creating data pipelines for business insights, and building real-time data pipelines in coordination with the Data Science team.
The Data Engineer Manager at PwC will design and develop robust data solutions, manage data pipelines, and focus on data integration and transformation. This role requires leadership in project ownership, mentoring, and upholding data standards while ensuring alignment with business needs and technical solutions.
As a Data Engineer at Vetcove, you will design and maintain scalable data pipelines and optimize data workflows using advanced methods like Large Language Models (LLMs). You will collaborate with backend engineers to ensure data integration and utilize databases for efficient data storage and querying.
The Google Cloud Data Engineer Manager at PwC leads the design and implementation of data infrastructure and solutions, develops data pipelines, and integrates data. This role involves mentoring team members, ensuring project success, and fostering collaboration with stakeholders to enhance data-driven decision-making.
As a Senior Manager in Google Cloud Data Engineering at PwC, you will design and implement data infrastructure solutions and develop data pipelines. You'll manage teams, coach staff, and leverage cloud technologies to enhance data architecture and compliance with governance policies, while acting as a strategic advisor for clients and developing solutions to complex challenges.
As a Senior Data Analytics Engineer, you will collaborate with various stakeholders to design and maintain data models, automate requests, and deliver BI-ready datasets. This role involves ensuring data quality, building dashboards and reports, and implementing best practices in a hybrid work environment.
As a Data Engineering Manager at PwC, you will lead the design and implementation of data solutions, manage team performance, and enhance data architecture strategies. Your role involves developing data pipelines, integration, and transformation solutions while mentoring team members. You will ensure projects meet quality standards and collaborate with stakeholders to address data requirements, all while upholding PwC values and professional standards.
As a Senior Data Engineer at RapidScale, you will design and implement data solutions while migrating customer systems to cloud platforms. Responsibilities include optimizing data storage, creating scalable data pipelines, and collaborating with teams to ensure data integrity and quality. You will also implement CI/CD pipelines and apply Infrastructure as Code practices.
As a Senior Data Engineer at Arcadia, you will design and develop data pipeline connectors for healthcare data integration, manage technical documentation, participate in team projects, code reviews, and scrum ceremonies, while ensuring timely delivery of solutions and collaborating with various internal teams to enhance analytic capabilities.
The Data Engineer will design, implement, and maintain the data infrastructure for analytics and business intelligence at Endpoint. Responsibilities include developing ETL pipelines, managing data warehouses, ensuring data quality, and collaborating with cross-functional teams to optimize data workflows and support data-driven decision-making.
The Lead Data Engineer at RapidScale will develop and implement data solutions, modernize infrastructure, migrate legacy systems to cloud platforms, and collaborate with teams to create scalable data pipelines. Responsibilities include optimizing data storage, ensuring data quality, maintaining CI/CD pipelines, and using Infrastructure as Code practices.
The Sr. Data Engineer-GCP designs, develops, and integrates data applications on Google Cloud Platform. Responsibilities include building data processing systems, automating data pipelines, leading unit testing, adhering to quality standards, and implementing process improvements. The role leverages machine learning and collaborates with internal and external resources to support reporting and analytics needs.
As a Senior Data Engineer, you will transform operational data into analytical data, perform data analysis, write schema changes, and maintain ELT pipelines. You will champion a data-driven culture and interface with internal clients to understand their data needs, alongside troubleshooting data issues.
As a Senior Data Engineer at Instacart, you will build and maintain data pipelines to support paid marketing campaigns, collaborating with cross-functional teams while ensuring high-quality scalable solutions. You will drive data-driven decisions and enhance marketing strategies.
The Data Developer will create a modern data platform, enhance data models, build scalable ETL pipelines, ensure data quality, and develop analytics tools in collaboration with various teams.
The Associate Principal Engineer (Data Engineer) will focus on data integration and warehousing, translate client requirements into technical designs, and oversee architecture and design practices while ensuring adherence to best practices. The role involves problem-solving, POCs development, and collaboration with development teams in an Agile environment.
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